Software Development Engineer II, Fintelligence Workplace

We seek an SDE II with strong technical acumen a proven track record in engineering large-scale software systems and a fervor for tackling complex challenges. This position calls for a candidate who excels under pressure is adaptable and can take ownership of the systems success. You will be responsible for driving solutions across the entire development lifecycle from design to coding testing and deployment in a dynamic and fast-paced environment.

Key job responsibilities
The SDE II on this team will be playing a key role in solving complex problems and building innovative automated solutions for our customers. Candidate needs to have a high sense of ownership ability to develop end to end solutions and improve customer experience. This role offers exposure to tackling scalability issues in complex process automations leveraging AWS cloud machine learning algorithms and distributed systems.
Ideal candidate will drive architectural and design choices invent new features develop distributed services and build a scalable service-oriented platform.

SDE 2 design and implement intelligent automation workflows that leverage large language models for natural language understanding decision-making and content generation. This includes building robust integrations with AWS Bedrock for LLM interactions developing agentic systems using MCP for complex workflow orchestration and creating AI-powered triage systems that can classify and route work with 95% accuracy across dozens of categories. Your solutions will process millions of transactions handle real-time data from diverse sources and deliver insights that drive productivity improvements across Amazons finance candidate will drive architectural and design choices invent new features develop distributed services and build a scalable service-oriented platform.

A day in the life
1. Collaborate with SDMs TPMs and Senior Software Development Engineers (SDEs) to contribute to the technical and architectural direction of the automation delivery team.

2. Develop scalable fault-tolerant and highly available services/capabilities supporting our large-scale customers streamlining the development of process automations.

3. Take a lead role in guiding and supporting junior engineers promoting best practices in design coding testability and security.

4. Encourage the adoption of new technologies and devise efficient algorithms tailored to our extensive customer base.

About the team
About Fintelligence
Fintelligence is FGBSs strategic innovation team solving complex cross-domain finance challenges through AI/ML. Our mission is to amplify human productivity by building reusable intelligent automation and decision-support solutions that accelerate value creation across Amazons finance organization and beyond. We combine deep product knowledge scientific expertise agile engineering practices and scalable AI frameworks to streamline financial processes reduce operational costs and unleash innovation at scale.

About the Team
FinTech Workplace is a hybrid intelligent automation platform that has evolved from a tactical deterministic automation solution into an AI-powered productivity hub. Weve transformed repetitive swivel chair work across multiple incompatible systems into seamless single-click experiences. Our platform currently supports over 250 automations across 25 Amazon businesses delivering 120K annual productivity hours while maintaining 93 operational excellence 2023 alone Workplace saved significant manual hours across FGBS and non-FGBS teams including Advertisement Amazon Pay AWS Sales and PXT.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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